Senior Software Engineer - Core Platform

Pave•San Francisco, CA

53d

About The Position

Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into 3 pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Core Platform @ Pave The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you'll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave's compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.

Requirements

5+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling
Experience leading large technical projects with high ambiguity and numerous stakeholders
Execution-oriented. You thrive in fast-paced environments and bias toward action